Summary Statistics

Species Information

Visualization of ht vs focal 50

Scatter plots using 50m

Scatter of Disperser visitation at 50m fruiting neighborhood

Correlation at each band

effect of height focal against visitation

PCA of all environmental variables

PCA of selected environmental variables

Constrained ordination

Models 50 m band

## [1] FIELD_TAG EAST      NORTH     ELEV      num.close
## <0 rows> (or 0-length row.names)
## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: poisson  ( log )
## Formula: real.visitation ~ focalmonth..50 * Height + offset(lograte) +  
##     (1 + focalmonth..50 | Tree)
##    Data: cam_data_NFM1tree
## 
##      AIC      BIC   logLik deviance df.resid 
##   3794.0   3815.6  -1890.0   3780.0      154 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -8.5540 -2.5265 -0.5044  1.5826 30.3127 
## 
## Random effects:
##  Groups Name           Variance Std.Dev. Corr 
##  Tree   (Intercept)    2.055    1.433         
##         focalmonth..50 1.286    1.134    -0.59
## Number of obs: 161, groups:  Tree, 49
## 
## Fixed effects:
##                          Estimate Std. Error z value Pr(>|z|)    
## (Intercept)              -0.33895    0.22232  -1.525   0.1274    
## focalmonth..50            0.51673    0.28594   1.807   0.0707 .  
## Heightlow                 0.85863    0.04317  19.889  < 2e-16 ***
## focalmonth..50:Heightlow -0.27907    0.03740  -7.462  8.5e-14 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) fc..50 Hghtlw
## fclmnth..50 -0.435              
## Heightlow   -0.154  0.070       
## fclmn..50:H  0.094 -0.101 -0.625
##      chisq      ratio        rdf          p 
## 3111.07024   20.20175  154.00000    0.00000
## # Check for zero-inflation
## 
##    Observed zeros: 21
##   Predicted zeros: 2
##             Ratio: 0.10
## # Overdispersion test
## 
##        dispersion ratio =   20.202
##   Pearson's Chi-Squared = 3111.070
##                 p-value =  < 0.001
##  Family: poisson  ( log )
## Formula:          
## real.visitation ~ focalmonth..50 * Height + offset(lograte) +  
##     (1 + focalmonth..50 | Tree)
## Zero inflation:                   ~focalmonth..50
## Data: cam_data_NFM1tree
## 
##      AIC      BIC   logLik deviance df.resid 
##   3292.9   3320.6  -1637.4   3274.9      152 
## 
## Random effects:
## 
## Conditional model:
##  Groups Name           Variance Std.Dev. Corr  
##  Tree   (Intercept)    1.386    1.177          
##         focalmonth..50 1.358    1.165    -0.71 
## Number of obs: 161, groups:  Tree, 49
## 
## Conditional model:
##                          Estimate Std. Error z value Pr(>|z|)    
## (Intercept)               0.04053    0.18870   0.215   0.8299    
## focalmonth..50            0.51522    0.29570   1.742   0.0814 .  
## Heightlow                 0.72386    0.04371  16.561  < 2e-16 ***
## focalmonth..50:Heightlow -0.27525    0.03749  -7.341 2.12e-13 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Zero-inflation model:
##                Estimate Std. Error z value Pr(>|z|)    
## (Intercept)    -1.93240    0.27910  -6.924  4.4e-12 ***
## focalmonth..50  0.05273    0.22931   0.230    0.818    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## # Check for Multicollinearity
## 
## Low Correlation
## 
##              Parameter  VIF Increased SE
##         focalmonth..50 1.01         1.01
##                 Height 1.59         1.26
##  focalmonth..50:Height 1.60         1.26
## Not enough model terms in the zero_inflated part of the model to check for multicollinearity.
## # Check for Multicollinearity
## 
## * conditional component:
## 
## Low Correlation
## 
##              Parameter  VIF Increased SE
##         focalmonth..50 1.01         1.01
##                 Height 1.59         1.26
##  focalmonth..50:Height 1.60         1.26
## Not enough model terms in the zero_inflated part of the model to check for multicollinearity.

##  Family: poisson  ( log )
## Formula:          real.visitation ~ focalmonth..50 * Height + focalmonth..50 *  
##     num.close + offset(lograte) + (1 + focalmonth..50 | Tree)
## Zero inflation:                   ~focalmonth..50
## Data: cam_data_NFM1tree
## 
##      AIC      BIC   logLik deviance df.resid 
##   3293.4   3327.3  -1635.7   3271.4      150 
## 
## Random effects:
## 
## Conditional model:
##  Groups Name           Variance Std.Dev. Corr  
##  Tree   (Intercept)    1.381    1.175          
##         focalmonth..50 1.132    1.064    -0.74 
## Number of obs: 161, groups:  Tree, 49
## 
## Conditional model:
##                          Estimate Std. Error z value Pr(>|z|)    
## (Intercept)               0.11705    0.28201   0.415   0.6781    
## focalmonth..50            1.31714    0.52908   2.490   0.0128 *  
## Heightlow                 0.72446    0.04371  16.575  < 2e-16 ***
## num.close                -0.01449    0.04175  -0.347   0.7285    
## focalmonth..50:Heightlow -0.27479    0.03749  -7.330  2.3e-13 ***
## focalmonth..50:num.close -0.09392    0.06148  -1.528   0.1266    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Zero-inflation model:
##                Estimate Std. Error z value Pr(>|z|)    
## (Intercept)    -1.93225    0.27907  -6.924 4.39e-12 ***
## focalmonth..50  0.05267    0.22930   0.230    0.818    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Not enough model terms in the zero_inflated part of the model to check for multicollinearity.
## # Check for Multicollinearity
## 
## * conditional component:
## 
## Low Correlation
## 
##                 Parameter  VIF Increased SE
##            focalmonth..50 3.91         1.98
##                    Height 1.59         1.26
##                 num.close 1.41         1.19
##     focalmonth..50:Height 1.60         1.27
##  focalmonth..50:num.close 4.67         2.16

## Not enough model terms in the zero_inflated part of the model to check for multicollinearity.

##  Family: poisson  ( log )
## Formula:          
## real.visitation ~ focalmonth..50 * Height + num.close + offset(lograte) +  
##     (1 + focalmonth..50 | Tree)
## Zero inflation:                   ~focalmonth..50
## Data: cam_data_NFM1tree
## 
##      AIC      BIC   logLik deviance df.resid 
##   3293.5   3324.3  -1636.8   3273.5      151 
## 
## Random effects:
## 
## Conditional model:
##  Groups Name           Variance Std.Dev. Corr  
##  Tree   (Intercept)    1.378    1.174          
##         focalmonth..50 1.400    1.183    -0.75 
## Number of obs: 161, groups:  Tree, 49
## 
## Conditional model:
##                          Estimate Std. Error z value Pr(>|z|)    
## (Intercept)               0.26355    0.26597   0.991   0.3217    
## focalmonth..50            0.64420    0.32198   2.001   0.0454 *  
## Heightlow                 0.72421    0.04370  16.571  < 2e-16 ***
## num.close                -0.04392    0.03731  -1.177   0.2391    
## focalmonth..50:Heightlow -0.27530    0.03749  -7.343 2.09e-13 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Zero-inflation model:
##                Estimate Std. Error z value Pr(>|z|)    
## (Intercept)    -1.93228    0.27907  -6.924 4.39e-12 ***
## focalmonth..50  0.05269    0.22930   0.230    0.818    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Not enough model terms in the zero_inflated part of the model to check for multicollinearity.
## # Check for Multicollinearity
## 
## * conditional component:
## 
## Low Correlation
## 
##              Parameter  VIF Increased SE
##         focalmonth..50 1.13         1.06
##                 Height 1.59         1.26
##              num.close 1.12         1.06
##  focalmonth..50:Height 1.60         1.26

## Not enough model terms in the zero_inflated part of the model to check for multicollinearity.

##  Family: poisson  ( log )
## Formula:          
## real.visitation ~ focalmonth..50 * percentFD + num.close + offset(lograte) +  
##     (1 + focalmonth..50 | Tree)
## Zero inflation:                   ~focalmonth..50
## Data: cam_data_NFM1tree
## 
##      AIC      BIC   logLik deviance df.resid 
##   3367.0   3397.8  -1673.5   3347.0      151 
## 
## Random effects:
## 
## Conditional model:
##  Groups Name           Variance Std.Dev. Corr  
##  Tree   (Intercept)    1.540    1.241          
##         focalmonth..50 1.538    1.240    -0.78 
## Number of obs: 161, groups:  Tree, 49
## 
## Conditional model:
##                          Estimate Std. Error z value Pr(>|z|)    
## (Intercept)               0.92697    0.27567   3.363 0.000772 ***
## focalmonth..50            0.38936    0.32603   1.194 0.232384    
## percentFD                -0.74523    0.05075 -14.683  < 2e-16 ***
## num.close                -0.03938    0.03861  -1.020 0.307678    
## focalmonth..50:percentFD  0.33637    0.04528   7.429  1.1e-13 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Zero-inflation model:
##                Estimate Std. Error z value Pr(>|z|)    
## (Intercept)     -1.9303     0.2786  -6.928 4.26e-12 ***
## focalmonth..50   0.0518     0.2292   0.226    0.821    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Not enough model terms in the zero_inflated part of the model to check for multicollinearity.
## # Check for Multicollinearity
## 
## * conditional component:
## 
## Low Correlation
## 
##                 Parameter  VIF Increased SE
##            focalmonth..50 1.13         1.06
##                 percentFD 1.55         1.25
##                 num.close 1.13         1.06
##  focalmonth..50:percentFD 1.55         1.25
## Not enough model terms in the zero_inflated part of the model to check for multicollinearity.

##  Family: poisson  ( log )
## Formula:          
## real.visitation ~ focalmonth..50 * percentFD + offset(lograte) +  
##     (1 + focalmonth..50 | Tree)
## Zero inflation:                   ~focalmonth..50
## Data: cam_data_NFM1tree
## 
##      AIC      BIC   logLik deviance df.resid 
##   3366.0   3393.8  -1674.0   3348.0      152 
## 
## Random effects:
## 
## Conditional model:
##  Groups Name           Variance Std.Dev. Corr  
##  Tree   (Intercept)    1.537    1.240          
##         focalmonth..50 1.495    1.223    -0.75 
## Number of obs: 161, groups:  Tree, 49
## 
## Conditional model:
##                          Estimate Std. Error z value Pr(>|z|)    
## (Intercept)               0.72684    0.19418   3.743 0.000182 ***
## focalmonth..50            0.27239    0.29996   0.908 0.363833    
## percentFD                -0.74528    0.05076 -14.684  < 2e-16 ***
## focalmonth..50:percentFD  0.33661    0.04528   7.434 1.05e-13 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Zero-inflation model:
##                Estimate Std. Error z value Pr(>|z|)    
## (Intercept)    -1.93028    0.27861  -6.928 4.26e-12 ***
## focalmonth..50  0.05179    0.22924   0.226    0.821    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Not enough model terms in the zero_inflated part of the model to check for multicollinearity.
## # Check for Multicollinearity
## 
## * conditional component:
## 
## Low Correlation
## 
##                 Parameter  VIF Increased SE
##            focalmonth..50 1.00         1.00
##                 percentFD 1.55         1.25
##  focalmonth..50:percentFD 1.55         1.25
## Not enough model terms in the zero_inflated part of the model to check for multicollinearity.

##                          Estimate Std. Error z value Pr(>|z|)    
## (Intercept)                -0.339      0.999   -0.34    0.734    
## focalmonth..50              0.517      1.285    0.40    0.688    
## Heightlow                   0.859      0.194    4.43  9.6e-06 ***
## focalmonth..50:Heightlow   -0.279      0.168   -1.66    0.097 .  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Models using functional groups

Variance explained